References

This book draws upon extensive research in statistical methodology and behavioral science. Below are key references organized by topic area.

4.27 General Statistical Methods

Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.

McElreath, R. (2020). Statistical rethinking: A Bayesian course with examples in R and Stan (2nd ed.). CRC Press.

4.28 Multilevel Modeling

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Sage Publications.

Snijders, T. A., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling (2nd ed.). Sage Publications.

4.29 Structural Equation Modeling

Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press.

Little, T. D. (2013). Longitudinal structural equation modeling. Guilford Press.

Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36.

4.30 Survival Analysis

Kleinbaum, D. G., & Klein, M. (2012). Survival analysis: A self-learning text (3rd ed.). Springer.

Therneau, T. M., & Grambsch, P. M. (2000). Modeling survival data: Extending the Cox model. Springer.

4.31 Factor Analysis

Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. Oxford University Press.

Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association.

4.32 Mixed-Effects Models

Pinheiro, J. C., & Bates, D. M. (2000). Mixed-effects models in S and S-PLUS. Springer.

West, B. T., Welch, K. B., & Galecki, A. T. (2014). Linear mixed models: A practical guide using statistical software (2nd ed.). CRC Press.

4.33 R and Statistical Computing

Wickham, H., & Grolemund, G. (2017). R for data science. O’Reilly Media.

Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R markdown: The definitive guide. CRC Press.

4.34 Reproducible Research

Gandrud, C. (2020). Reproducible research with R and RStudio (3rd ed.). CRC Press.

4.35 Statistical Reporting

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association.

4.36 Software Documentation

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48.

Revelle, W. (2024). psych: Procedures for psychological, psychometric, and personality research. R package version 2.4.1.

Therneau, T. (2024). A package for survival analysis in R. R package version 3.5-7.


Note: This reference list includes foundational texts and key R packages. Each chapter contains additional specific references relevant to the particular statistical method being discussed.